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possess strong quantitative skills (e.g. Matlab, C++, Python). The term of this appointment is one year with the possibility of renewal contingent upon satisfactory performance and continued funding
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to impactful open-source projects and advance AI research using technologies such as Python, C++, TensorFlow, PyTorch, JAX, and Scikit-learn. Mentor and develop a team of RSEs in an inclusive, collaborative
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analyzing large datasets. *Strong programming skills, particularly Julia/JuMP and/or Python. *Strong scientific writing and presentation skills, and interest in and track record of publishing in top academic
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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/Python/Presentation programming experience related to task design, data sorting, analysis, and visualization Master's degree or equivalent in psychology, neuroscience, biology, computer science, or a
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fields (e.g., Master of Science, etc.) Experience with research and publications related to the job description Strong background in Computational Design Excellent programming skills (primarily Python, but
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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tools. Exposure to SQL, REST APIs, and data visualization tools (Power BI, Tableau). Demonstrated programming knowledge either in business or educational environment (Python and C# experience a plus) A
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inference and statistics; computer vision and novel applications of machine learning.Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is
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programming knowledge either in business or educational environment (Python and C# experience a plus) A passion for technology and an interest in investing, or financial industry The Investment Technology Cloud